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Datadog (DDOG) — Daily Price Character

Historical session stats from dividend-adjusted prices: win rate, streaks, record days, weekday patterns, and (when available) how often the stock was green on S&P 500 green days.

Market daily streak ranking →

Archetype

Explosive

High daily volatility — frequent large price swings.

Win rate

51.2%

857 green · 813 red · 5 flat · 1675 sessions

Current streak

1 red

As of May 20, 2026

Max win / lose streak

9 / 9 days

Win streak return: +38.19% · Lose: 21.11%

Median / σ daily

+0.100% · 3.770%

Avg green +2.73% · avg red 2.52%

Extreme days (>3%)

30.8%

258 up · 257 down

History from Sep 20, 2019 through May 20, 2026 · 1675 trading days with returns.

Trailing year — daily returns (calendar)

May 23, 2025May 20, 2026 · Mon–Fri sessions only

Monday–Friday — average return

Average dividend-adjusted return on that weekday (green / red by sign). Green/red day rule: ±0.01% vs prior close.

Monday–Friday — win rate

Share of sessions that closed green on that weekday. Bars are green at or above 50%, red below 50%.

Top green days

Largest single-session gains (dividend-adjusted), by historical return.

DateReturn
May 7, 2026+31.33%
Nov 7, 2023+28.47%
May 12, 2020+23.65%
Nov 6, 2025+23.13%
Mar 17, 2020+17.82%
Nov 13, 2019+16.83%
Aug 5, 2021+15.26%
Jul 3, 2025+14.92%
May 4, 2023+14.52%
Nov 10, 2022+13.84%
Feb 10, 2026+13.74%
Oct 24, 2019+13.00%
Jun 2, 2022+12.90%
Sep 30, 2020+12.36%
Mar 9, 2022+12.35%
Feb 10, 2022+12.28%
Apr 9, 2025+12.00%
Nov 5, 2021+11.12%
Feb 1, 2023+10.55%
Apr 26, 2023+10.50%

Worst red days

Largest single-session losses; "Days to recovery" counts trading sessions until close recovered the prior peak (dividend-adjusted).

DateReturnDays to recovery
Mar 16, 202017.87%11
Aug 8, 202317.18%69
Aug 7, 202016.36%31
May 7, 202411.48%35
May 9, 202211.34%17
Feb 23, 202611.27%3
Mar 9, 202011.00%36
May 16, 202210.72%12
Jun 13, 202210.46%7
Jul 13, 202010.11%56
Mar 3, 20229.74%693
Nov 20, 20259.49%114
Mar 11, 20229.38%5
Jan 29, 20268.81%65
May 24, 20228.64%3
Feb 3, 20238.64%8
Mar 7, 20228.50%2
Feb 13, 20258.24%96
Jun 16, 20228.24%2
Oct 26, 20228.17%139

Frequently asked questions

What is the daily win rate for Datadog (DDOG)?

Historically, Datadog (DDOG) closed green on 51.2% of trading days (857 green, 813 red, 5 flat), using dividend-adjusted closes and a ±0.01% threshold for green vs red.

What is the current winning or losing streak for Datadog (DDOG)?

As of 2026-05-20, Datadog (DDOG) is on a 1-day losing streak (consecutive green or red days by the same rules, ignoring trailing flat days).

What does Steady, Balanced, or Explosive mean for Datadog (DDOG)?

We label Datadog (DDOG) as "explosive" based on the sample standard deviation of daily returns: High daily volatility — frequent large price swings.

What were the best and worst single trading days for Datadog (DDOG)?

Largest single-day gain: +31.33%. Largest single-day loss: 17.87%. Tables on this page list the top record green and red days.

What counts as an "extreme" daily move for Datadog (DDOG)?

We treat a day as extreme if the absolute dividend-adjusted daily return exceeds 3%. About 30.8% of trading days for Datadog (DDOG) were extreme (258 up, 257 down).

Data & methodology

How are green, red, and flat days defined?

We use dividend-adjusted (or close-to-close for non-equity) daily returns. Green: return ≥ +0.01%. Red: return ≤ −0.01%. Flat: between those bounds.

How is the current streak calculated?

We count consecutive green or consecutive red days using the same thresholds. If the most recent session is flat, we skip trailing flat days and measure from the last non-flat close.

What does “vs S&P 500” mean?

On sessions where the S&P 500 (^GSPC) was green, we report how often this stock was also green. Shown only for USD equities when benchmark data exists and the symbol is not the index itself.

Where does the archetype come from?

Sample standard deviation of daily returns: low → Steady, high → Explosive, otherwise Balanced. Labels describe typical daily volatility, not quality of the investment.